Data Mining and Exploration : From Traditional Statistics to Modern Data Science (Paperback)

1. Re-examination of Traditional Statistics  2. Why Data Science?  3. Cutting Edge Data Analytical Tools  4. Exploratory Data Analysis and Data Visualization: Pattern Seeking  5. Generalized Regression: Penalty against Complexity  6. Classification and Model Screening  7. Ensemble Methods: The Wisdom of the Crowd  8. Dimension Reduction: Breaking the Curse of Dimensionality  9. Clustering: Divide and Conquer  10. Neural Networks: Machines Mimic Human Intelligence  11. Text Mining: Structure the Unstructured